Channel Estimation is one of the essential tasks to realize a reconfigurable intelligent
surface (RIS)-aided orthogonal frequency division multiplexing (OFDM) communication …

Channel estimation is a critical task in digital communications that greatly impacts end-to-
end system performance. In this work, we introduce a novel approach for multiple-input …

Integration of digital twin (DT) and wireless channel provides new solution of channel
modeling and simulation, and can assist to design, optimize and evaluate intelligent …

A canonical wireless communication system consists of a transmitter and a receiver. The
information bit stream is transmitted after coding, modulation, and pulse shaping. Due to the …

In this paper, a novel channel estimation technique is proposed for Universal Filtered Multi-
Carrier (UFMC) systems. The proposed technique employs Deep Learning (DL) models …

The channel estimation (CE) in wireless receivers is one of the most critical and
computationally complex signal processing operations. Recently, various works have shown …

In this paper, we propose a deep learning (DL) based receiver named comm-transformer
network (Comm-Trans Net), which is robust for different sub-types of tapped delay line (TDL) …

Deep learning has solved many problems that are out of reach of heuristic algorithms. It has
also been successfully applied in wireless communications, even though the current radio …

Wireless communications are envisioned to bring about dramatic changes in the future, with
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …

This paper studies machine learning-assisted optimal receivers for a communication system
with memory, which can be modelled by a trellis diagram. The prerequisite of the optimal …